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This paper studies learning node representations with graph neural networks (GNNs) for unsupervised scenario.
Fast graph representation learning with PyTorch Geometric
Fey, M.; and Lenssen, J. E. 2019 · 1903
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Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
NT, H.; and Maehara, T. 2019 · 1905
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Semi-supervised classification with graph convolutional networks
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Graph attention networks
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Strategies for Pre-training Graph Neural Networks
Hu, W.; Liu, B.; Gomes, J.; Zitnik, M.; Liang, P.; Pande, V.; and Leskovec, J. 2019 · 2019
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Diffusion Improves Graph Learning
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Contrastive representation distillation
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Heterogeneous graph neural network
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